Structural model robustness checks in PLS-SEM
Year of publication: |
2020
|
---|---|
Authors: | Sarstedt, Marko ; Ringle, Christian M. ; Cheah, Jun-Hwa ; Hiram Ting ; Moisescu, Ovidiu I. ; Radomir, Lacramioara |
Subject: | endogeneity | FIMIX-PLS | nonlinear | partial least squares | PLS-SEM | robustness checks | structural equation modeling | Kleinste-Quadrate-Methode | Least squares method | Strukturgleichungsmodell | Structural equation model | Robustes Verfahren | Robust statistics | Partielle kleinste Quadrate | Partial least squares | Schätztheorie | Estimation theory |
-
Identifying and treating unobserved heterogeneity with FIMIX-PLS part II : a case study
Matthews, Lucy M., (2016)
-
Partial least squares as a tool for scientific inquiry : comments on Cadogan and Lee
Henseler, Jörg, (2023)
-
Hult, G. Tomas M., (2018)
- More ...
-
Predictive Model Assessment in PLS-SEM : Guidelines for Using PLSpredict
Shmueli, Galit, (2019)
-
Hair, Joe F., (2021)
-
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Shmueli, Galit, (2019)
- More ...